iPhone 14 Pro Max
Geekbench AI Score
3527
Single Precision Score
23837
Half Precision Score
26841
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 10:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
10644
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
12980
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16183
262.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19110
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6927
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
104864
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103478
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
13322
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
14510
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
31337
372.3 IPS |
|
|
Face Detection (Q)
|
100% |
38674
459.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6176
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75386
580.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95094
743.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18984
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178795
229.8 IPS |
|
|
Style Transfer (Q)
|
96% |
180573
233.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31995
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37386
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7607
131.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8406
145.3 IPS |
